Genomic Prediction of Barley Hybrid Performance

Plant Genome - Tập 9 Số 2 - 2016
Norman Philipp1, Guozheng Liu1, Yusheng Zhao1, Sang He1, Monika Spiller2, Gunther Stiewe2, Klaus Pillen3, Jochen C. Reif1, Li Zuo1
1Dep. of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466 Gatersleben, Germany
2Syngenta Seeds GmbH., Zum Knipkenbach 20, 32107 Bad Salzuflen, Germany
3Martin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120 Halle/Saale, Germany

Tóm tắt

Hybrid breeding in barley (Hordeum vulgare L.) offers great opportunities to accelerate the rate of genetic improvement and to boost yield stability. A crucial requirement consists of the efficient selection of superior hybrid combinations. We used comprehensive phenotypic and genomic data from a commercial breeding program with the goal of examining the potential to predict the hybrid performances. The phenotypic data were comprised of replicated grain yield trials for 385 two‐way and 408 three‐way hybrids evaluated in up to 47 environments. The parental lines were genotyped using a 3k single nucleotide polymorphism (SNP) array based on an Illumina Infinium assay. We implemented ridge regression best linear unbiased prediction modeling for additive and dominance effects and evaluated the prediction ability using five‐fold cross validations. The prediction ability of hybrid performances based on general combining ability (GCA) effects was moderate, amounting to 0.56 and 0.48 for two‐ and three‐way hybrids, respectively. The potential of GCA‐based hybrid prediction requires that both parental components have been evaluated in a hybrid background. This is not necessary for genomic prediction for which we also observed moderate cross‐validated prediction abilities of 0.51 and 0.58 for two‐ and three‐way hybrids, respectively. This exemplifies the potential of genomic prediction in hybrid barley. Interestingly, prediction ability using the two‐way hybrids as training population and the three‐way hybrids as test population or vice versa was low, presumably, because of the different genetic makeup of the parental source populations. Consequently, further research is needed to optimize genomic prediction approaches combining different source populations in barley.

Từ khóa


Tài liệu tham khảo

10.1016/j.plantsci.2015.08.021

Bernardo R., 2010, Breeding for quantitative traits in plants, 70

10.2135/cropsci2008.12.0689

Gilmour A.R., 2009, ASReml user guide release 3.0

10.2135/cropsci2012.04.0245

Hallauer A.R., 2010, Handbook of plant breeding. Quantitative genetics in maize breeding, 399

10.1371/journal.pgen.1000529

10.1007/s00122‐013‐2172‐z

10.1007/s00122‐012‐1967‐7

10.1007/s00122‐012‐1955‐y

10.1007/BF00274716

10.1093/genetics/157.4.1819

10.2135/cropsci2012.07.0411

10.1007/s00122‐013‐2219‐1

10.1007/s00122‐014‐2351‐6

10.21273/HORTSCI.41.2.446

R Development Core Team, 2010, R: A language and environment for statistical computing. v. 3.1.0

10.1534/genetics.107.074146

Rogers J.S., 1972, Studies in genetics VII, 145

Schrag T.A., 2009, Marker based prediction of hybrid performance in maize single‐crosses involving doubled haplois, Maydica, 54, 353

10.1080/01621459.1993.10476299

10.1534/genetics.114.165860

10.1007/s00122‐013‐2065‐1

10.1073/pnas.1514547112

10.1111/pbr.12231

10.2135/cropsci2012.08.0463

Thông tin
Thông tin xuất bản

Plant Genome

Tập 9 Số 2

Thông tin tác giả